The five quality components in symbios encompass everything essential for understanding and ensuring the quality of statistical outputs. Every NSO should actively utilize and apply this knowledge to enhance their statistical processes.
— Joakim Malmdin, Founder

Ensuring the quality of statistical outputs is vital for building trust and reliability among statistics users. As statistical organisations navigate an increasingly complex data ecosystem, the demand for high-quality outputs has never been greater. Ensuring these standards requires a holistic approach—one that integrates robust quality frameworks, effective monitoring tools, and a strong organisational culture that prioritises quality at every level.

At ORBICAP, we understand that quality is not just about compliance with international standards but about fostering a shared commitment to excellence throughout the organisation. This involves aligning operations with established quality principles, using innovative tools for monitoring and assessment, and proactively managing risks that can impact statistical outputs.

Our services are designed to help organisations create and sustain a quality-driven environment, enabling them to deliver reliable statistics that meet the needs of decision-makers, policymakers, and the wider public.

Key Services:

  • Quality Assurance Frameworks:

    Developing a structure for a comprehensive quality assurance framework aligned with international standards.

  • Quality Concept:

    Fostering a culture and environment that encourages using the internationally developed quality concept (quality components and principles).

  • Quality Monitoring and Assessment Tools:

    Inventorying tools and techniques for data validation, error tracking, and compliance checks.

  • Risk Assessment and Mitigation:

    Conducting risk assessments to identify and mitigate potential threats and developing mitigation strategies.